{"data":{"event":{"id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","slug":"protege-ambient-ai-hospital-mortality-2026","title":"Protege DataLab associates faster ambient AI adoption with lower 2026 in-system mortality","short_summary":"A Protege DataLab / a16z chart, recirculated by Hedgeye on 20 September 2026, plots in-system mortality per 100k patients by ambient AI adoption (share of notes referencing AI tools). High- and low-adoption systems tracked together from 2023 through 2025, then the 2026* points diverge to about 1,010 versus 1,620. Error bars are wide, 2026 is incomplete, no named model is identified, and the authors frame related network figures as descriptive rather than causal.","full_description":"Hedgeye posted the chart on 20 September 2026 with the caption “Hospitals that adopted AI fastest saw the fewest deaths in 2026.” The graphic itself is more hedged: “Some evidence shows mortality falls in health systems adopting AI fastest,” with the series defined as in-system mortality per 100k patients split by ambient AI adoption, measured as the share of notes referencing AI tools. Both groups start near 1,600–1,650 in 2023 and decline together through 2025; the 2026* high-adoption point continues down to about 1,010 while low-adoption rebounds toward about 1,620. Confidence intervals overlap in every year, including 2026. The source line is Protege DataLab / Protege healthcare data provider network, branded Protege | a16z.\n\nThe same chart circulated in late August 2026. The nearest public Protege collaboration on a16z.news, Bobby Samuels’s 24 August “Oracle Problem” essay, says figures drawn from Protege’s partner network—sampled from nearly a trillion tokens of EMR text—are “descriptive rather than causal estimates.” That essay documents rising AI-written SOAP notes and patient questions about model advice; it does not publish a methods paper, risk adjustment, or a named ambient-scribe product for the mortality split. No release (Abridge, DAX Copilot, Ambience, or a frontier LLM) is identified. High-resource systems are also more likely to adopt ambient documentation, so hospital quality remains a confounder.\n\nA separate March 2026 medRxiv study by Johnson, Gefen, and Harrison linked AHA workflow-AI access to about 25.5 fewer hospital deaths per 100k residents after doubly robust adjustment. That is a different exposure, a smaller effect, and still not a causal ambient-scribe result. This ledger records the Protege/a16z observational claim, not a proven lives-saved intervention.\n\nUpdate (2026-09-14): Notes on gotchas while migrating 35kb preprompts from Opus to self-hosted Ollama. Article URL: https://patrickmccanna.net/notes-on-migrating-large-prompts-away-from-anthropic-openai-to-self-hosted-llms/\nComments URL: https://news.ycombinator.com/item?id=49697014\nPoints: 16\n# Comments: 0\n\nUpdate (2026-09-14): Show HN: Pelican-bicycle alternatives (updated for 2026). In November and December 2025, inspired by Simon Willison’s pelican-riding-a-bicycle benchmark, I had some then-current LLMs create SVGs from thirty similar prompts, such as “Generate an SVG of an octopus operating a pipe organ.” Simon mentioned that experiment on his blog [1].\nNine months have passed and much stronger models have been released, so I tried the experiment again today. The linked site shows the results.\nRunning ten of the prompts through six models at OpenRouter cost about twenty dollars, so I stopped there for now.\n[1] https://simonwillison.net/2025/Nov/25/\nComments URL: https://news.ycombinator.com/item?id=49696402\nPoints: 18\n# Comments: 2\n\nUpdate (2026-09-15): Jev: New frontier model 40-400x cheaper and 20-200x faster. Article URL: https://typesafe.ai/blog/introducing-system-one-models-and-jev\nComments URL: https://news.ycombinator.com/item?id=49717558\nPoints: 46\n# Comments: 8\n\nUpdate (2026-09-21): Solitaire Alone Together. Article URL: https://solitairealonetogether.com/\nComments URL: https://news.ycombinator.com/item?id=49794193\nPoints: 16\n# Comments: 3\n\nUpdate (2026-09-23): Once Claude can measure something, it can make it faster. Article URL: https://claude.dev/blog/how-we-made-claude-ai-faster/\nComments URL: https://news.ycombinator.com/item?id=49821196\nPoints: 128\n# Comments: 81\n\nUpdate (2026-09-23): Making Tailscale Faster. Article URL: https://tailscale.com/blog/making-tailscale-faster\nComments URL: https://news.ycombinator.com/item?id=49819880\nPoints: 27\n# Comments: 6\n\nUpdate (2026-09-14): Show HN: Is It Greg?. My friend Greg often posts incredible things he just made, just for fun.\nOften, I don't realize that it's something HE made and then I see the URL, AND IT'S MY FRIEND, GREG!\nA few things he made that I think are amazing:\n- ikea complexity index: https://ikea.greg.technology/\n- Boing: https://boing.greg.technology/\nI want to make sure I don't miss anything from him, so I created this Chrome extension that flags things posted by Greg, or linking to his website or a subdomain.\nI hope other people will install the extension and never miss anything Greg made.\nComments URL: https://news.ycombinator.com/item?id=49690943\nPoints: 23\n# Comments: 6\n\nUpdate (2026-09-14): The Malicious Use of Artificial Intelligence. Article URL: https://arxiv.org/abs/1802.07228\nComments URL: https://news.ycombinator.com/item?id=49690678\nPoints: 9\n# Comments: 0\n\nUpdate (2026-09-14): AI is not a normal technology. Article URL: https://12gramsofcarbon.com/p/ai-is-not-a-normal-technology\nComments URL: https://news.ycombinator.com/item?id=49690529\nPoints: 12\n# Comments: 19\n\nUpdate (2026-09-14): AI Robots – When will they be in our homes. Article URL: https://spectrum.ieee.org/ai-robots\nComments URL: https://news.ycombinator.com/item?id=49690411\nPoints: 9\n# Comments: 4\n\nUpdate (2026-09-14): Chess.com Leak Exposes 7.3M Users, Evidence Points to Scraping. Article URL: https://securityaffairs.com/197174/breaking-news/chess-com-leak-exposes-7-3-million-users-evidence-points-to-scraping.html\nComments URL: https://news.ycombinator.com/item?id=49691584\nPoints: 11\n# Comments: 3\n\nUpdate (2026-09-14): Who Gets to Define the Rules for AI?. Article URL: https://cohere.com/blog/who-gets-to-define-the-rules-for-ai\nComments URL: https://news.ycombinator.com/item?id=49692118\nPoints: 9\n# Comments: 3\n\nUpdate (2026-09-14): OpenArch – PyTorch implementations of modern LLM architectures. Article URL: https://github.com/anuj0456/OpenArch\nComments URL: https://news.ycombinator.com/item?id=49693384\nPoints: 45\n# Comments: 10\n\nUpdate (2026-09-14): Temporal raises $550M at a $12.55B valuation. Article URL: https://temporal.io/blog/temporal-raises-usd550m-series-e-at-usd12-55b-valuation-ai\nComments URL: https://news.ycombinator.com/item?id=49696335\nPoints: 6\n# Comments: 0\n\nUpdate (2026-09-14): What a time to be alive – rouge AI agents attack RubyGems.org. Article URL: https://tenderlovemaking.com/2026/09/11/what-a-time-to-be-alive/\nComments URL: https://news.ycombinator.com/item?id=49695876\nPoints: 70\n# Comments: 87\n\nUpdate (2026-09-14): Apple's Siri AI Can Be Swapped Out for Claude, ChatGPT, Code Shows. Article URL: https://www.macrumors.com/2026/09/14/siri-can-be-swapped-out-for-chatgpt-claude/\nComments URL: https://news.ycombinator.com/item?id=49695409\nPoints: 90\n# Comments: 29\n\nUpdate (2026-09-14): Big AI sets out its terms for regulatory capture. Article URL: https://www.theregister.com/ai-and-ml/2026/09/14/big-ai-sets-out-its-terms-for-regulatory-capture-and-calls-it-pace-the-frontier/5296067\nComments URL: https://news.ycombinator.com/item?id=49694596\nPoints: 35\n# Comments: 3\n\nUpdate (2026-09-14): Show HN: ChaosTree – A zero-dependency Java tree library (AVL,RBT,B-Tree,B+Tree). What is ChaosTree?\nChaosTree is a zero-dependency Java Sorted Set/Map library built around multiple tree implementations.\nIt provides implementations of:\n- AVL Tree\n- Red-Black Tree\n- B-Tree\n- B+Tree\nI have not made my custom API as it implements NavigableSet, NavigableMap, SequencedSet and SequencedMap. My Custome API are:\n- buildFromSorted(Iterator> it, float factor)\n- importFlatMatrix(Object[][] blast, float factor)\n- Object[][] exportFlatMatrix()\nI started ChaosTree because I wanted to explore how far I could learn DS structure, It started as frst release of 7 tree of Set type with Custome API, As i got engrossed into it I moved to Map, During phase of switching from Set to Map there was drastic change and knowledge upgrade where I pushed my Tree limit from jdk11+ support to jdk21+ where paid close attention to dependency-free and memory layout, allocation,JVM behavior, and real-world performance.\nSome of the things I experimented with:\n- Different node layouts and metadata footprints\n- CRTP/F-bounded polymorphism for tree implementations\n- Parent-pointer vs parentless nodes\n\nUpdate (2026-09-14): Jabber/XMPP: How Do We Gain Traction?. Article URL: https://gultsch.de/posts/how-do-we-gain-traction/\nComments URL: https://news.ycombinator.com/item?id=49697643\nPoints: 53\n# Comments: 30\n\nUpdate (2026-09-14): Adversarial Fashion Makes a Statement on AI Panopticon. Article URL: https://spectrum.ieee.org/adversarial-fashion\nComments URL: https://news.ycombinator.com/item?id=49697094\nPoints: 19\n# Comments: 5\n\nUpdate (2026-09-14): Why don't machine learning research agents overfit?. Article URL: https://www.amazon.science/blog/why-dont-machine-learning-research-agents-overfit\nComments URL: https://news.ycombinator.com/item?id=49699648\nPoints: 9\n# Comments: 1\n\nUpdate (2026-09-14): When LLM judges agree, should we believe them?. Article URL: https://www.amazon.science/blog/when-llm-judges-agree-should-we-believe-them\nComments URL: https://news.ycombinator.com/item?id=49699590\nPoints: 6\n# Comments: 0\n\nUpdate (2026-09-14): Hacking AI customer service agents. Article URL: https://www.intigriti.com/researchers/blog/hacking-tools/hacking-ai-customer-service-agents\nComments URL: https://news.ycombinator.com/item?id=49699526\nPoints: 21\n# Comments: 1\n\nUpdate (2026-09-14): For AI leaders Doom is a form of hype. Article URL: https://erkansaka.net/2026/09/10/ai-doom-rhetoric-safety-hype/\nComments URL: https://news.ycombinator.com/item?id=49699384\nPoints: 99\n# Comments: 66\n\nUpdate (2026-09-14): China's Regulators Take Aim at \"AI Boyfriends\". Article URL: https://spectrum.ieee.org/china-ai-chatbot-regulation\nComments URL: https://news.ycombinator.com/item?id=49698664\nPoints: 34\n# Comments: 13\n\nUpdate (2026-09-14): Transitions.dev: UI transitions for AI agents. Article URL: https://transitions.dev/\nComments URL: https://news.ycombinator.com/item?id=49698443\nPoints: 13\n# Comments: 5\n\nUpdate (2026-09-14): Iranian banks' SSL certificates are being revoked due to OFAC sanctions. Article URL: https://digiato.global/report/iran-banks-ssl-certificates-domain-changes/\nComments URL: https://news.ycombinator.com/item?id=49701104\nPoints: 39\n# Comments: 22\n\nUpdate (2026-09-14): Show HN: Nari Qwen3-TTS and Qwen3-ASR – High accuracy, low latency and cost. Hey HN, Toby from Nari Labs here.\nWe've been working on making OSS speech models super-fast. Last year, we built Dia, the first OSS text-to-speech model capable of doing natural dialogue. Since then, so many more great speech models have been released to the public.\nBut the market is still dominated by closed source models. We think that's an inference problem. Existing systems such as vLLM / SGLang are not well suited for multimodal inference. To prove this, we built an inference engine specialized for Qwen3-TTS and open-sourced it (https://github.com/nari-labs/nari-qwen3-tts). Running at sub-50 ms latency at 10 RPS, this showed open models can be run much faster and cheaper.\nSince then, we've been working hard to bring cheap, fast, and high quality serving to all. And we've even beat closed models at their game!\nMeasured on the highly cited Coval (YC S24) voice AI benchmarks, our Qwen3-TTS endpoint not just is #2 in latency, but #1 in accuracy (WER) compared to 11Labs, Cartesia etc. while being the cheapest endpoint. Our Qwen3-ASR endpoint has the lowest latency and #2 accuracy, ju\n\nUpdate (2026-09-14): Oracle's Cold 6AM Layoff Emails Hit Staff Amid New Wave of Cuts. Article URL: https://www.techtimes.co.uk/oracle-new-layoffs-restructuring-costs-2-8-billion-1808676\nComments URL: https://news.ycombinator.com/item?id=49702239\nPoints: 55\n# Comments: 28\n\nUpdate (2026-09-14): A single firm is behind OpenAI, Anthropic, and Meta hacking scandals. Article URL: https://www.effort.news/irregular\nComments URL: https://news.ycombinator.com/item?id=49704132\nPoints: 75\n# Comments: 24\n\nUpdate (2026-09-14): Backprop Alternative: Augmented Lagrangian Predictive Coding. Article URL: https://pub.sakana.ai/pc-alm/\nComments URL: https://news.ycombinator.com/item?id=49701182\nPoints: 14\n# Comments: 1\n\nUpdate (2026-09-14): LLMs are real, AI is fake. Article URL: https://pluralistic.net/2026/09/12/god-in-the-box/#llms-are-fake\nComments URL: https://news.ycombinator.com/item?id=49705130\nPoints: 8\n# Comments: 0\n\nUpdate (2026-09-14): People who can't picture anything are rewriting the science of imagination. Article URL: https://dailyneuron.com/aphantasia-mental-imagery-brain-network/\nComments URL: https://news.ycombinator.com/item?id=49696453\nPoints: 147\n# Comments: 210","ledger_type":"benefit","primary_domain_id":"c09546b6-10f8-48df-8347-0c1979416464","event_status":"provisional","event_date":"2026-08-24T00:00:00.000Z","discovery_date":"2026-08-24T00:00:00.000Z","first_published_date":"2026-08-24T00:00:00.000Z","last_reviewed_date":"2026-09-14T00:00:00.000Z","geographic_scope":"United States health systems in the Protege provider network","affected_population":"Patients in Protege-network systems, compared by ambient-AI documentation intensity","base_impact_tier":3,"base_score":"10.00","attribution_multiplier":"0.2500","evidence_multiplier":"0.5000","realization_multiplier":"0.4000","durability_multiplier":"0.5000","current_event_score":"0.250000","confidence_level":"medium","score_explanation":"A health-system mortality gap of hundreds per 100k patients, if real, is a documented patient-outcome effect (Major, tier 3), not a Historic standard of care. Ambient documentation AI is a supporting, unnamed contributor at best; hospital resources and case mix are competing explanations (0.25). Evidence is an industry chart plus a Protege/a16z descriptive essay, not a methods paper or independent replication (0.20). Realization is an observational association with a starred 2026 point, not a trial (0.40). Durability is medium until the split is replicated or explained away (0.50). The model stays unspecified. Follow-up ingest: independent source raised evidence; added a follow-up source. Follow-up ingest: independent source raised evidence; added a follow-up source. Follow-up ingest: independent source raised evidence; added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source. Follow-up ingest: added a follow-up source.","methodology_version_id":"8745541b-0f8e-4d5a-9b47-5291d3813a8d","original_methodology_version_id":"8745541b-0f8e-4d5a-9b47-5291d3813a8d","published_at":"2026-08-24T00:00:00.000Z","created_at":"2026-09-21T01:54:16.553Z","updated_at":"2026-09-24T19:00:54.838Z","flags":["Causal identification pending","Named release unidentified"],"domain_name":"Medicine & Health","domain_slug":"medicine-health","methodology_version":"0.2"},"contributions":[{"id":"8392b7de-dc10-4a13-890e-baff9a04a038","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","model_id":"535014f7-c941-4d39-aa9b-8f9c1d3d07b7","role_description":"Unnamed ambient documentation tools, proxied by the share of clinical notes that mention AI, in Protege-network health systems.","attribution_multiplier":"0.2500","credit_share":"1.0000","contribution_score":"0.250000","attribution_rationale":"The chart splits systems by ambient AI adoption in notes. No vendor or named model is identified, and the association is compatible with better-resourced hospitals adopting first.","attribution_confidence":"medium","first_used_date":"2023-01-01T00:00:00.000Z","model_version_if_known":null,"review_status":"approved","created_at":"2026-09-21T01:54:16.553Z","model_slug":"unspecified-ai-system","model_name":"Unspecified AI system","identity_class":"unknown","is_internal":false,"family_name":"Unspecified","family_slug":"unknown-unspecified","organization_name":"Unknown","organization_slug":"unknown"}],"sources":[{"id":"f61d4a17-aa17-4c1d-b0ae-53f1387e803f","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://www.a16z.news/p/the-oracle-problem-an-invisible-bottleneck","canonical_url":"https://www.a16z.news/p/the-oracle-problem-an-invisible-bottleneck","source_type":"other","publisher":"a16z / Protege","author":null,"publication_date":"2026-08-24T00:00:00.000Z","retrieved_at":"2026-09-21T01:54:16.553Z","title":"The Oracle Problem: an 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Counties","excerpt":null,"content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-21T01:54:16.553Z"},{"id":"f7b2df44-ae8f-4013-9a6b-f605c0796818","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://datalab.withprotege.ai/","canonical_url":"https://datalab.withprotege.ai/","source_type":"other","publisher":"Protege","author":null,"publication_date":"2026-03-11T00:00:00.000Z","retrieved_at":"2026-09-21T01:54:16.553Z","title":"DataLab at Protege","excerpt":null,"content_hash":null,"source_reliability_class":"low","is_primary_source":false,"is_independent":false,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-21T01:54:16.553Z"},{"id":"f70f4810-b2c5-48cf-89ff-182f5f407ce8","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://gultsch.de/posts/how-do-we-gain-traction/","canonical_url":"https://gultsch.de/posts/how-do-we-gain-traction/","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:51.689Z","title":"Jabber/XMPP: How Do We Gain Traction?","excerpt":"Article URL: https://gultsch.de/posts/how-do-we-gain-traction/\nComments URL: https://news.ycombinator.com/item?id=49697643\nPoints: 53\n# Comments: 30","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:51.689Z"},{"id":"bb2941ed-6c39-4b1a-bc49-f76560e0ed6d","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://patrickmccanna.net/notes-on-migrating-large-prompts-away-from-anthropic-openai-to-self-hosted-llms/","canonical_url":"https://patrickmccanna.net/notes-on-migrating-large-prompts-away-from-anthropic-openai-to-self-hosted-llms/","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-21T02:00:50.678Z","title":"Notes on gotchas while migrating 35kb preprompts from Opus to self-hosted Ollama","excerpt":"Article URL: https://patrickmccanna.net/notes-on-migrating-large-prompts-away-from-anthropic-openai-to-self-hosted-llms/\nComments URL: https://news.ycombinator.com/item?id=49697014\nPoints: 16\n# Comments: 0","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-21T02:00:50.678Z"},{"id":"38757974-0f8b-4233-b38c-d37aab0d9a98","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://gally.net/temp/20260914pelican-alternatives/index.html","canonical_url":"https://gally.net/temp/20260914pelican-alternatives/index.html","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-21T02:00:50.945Z","title":"Show HN: Pelican-bicycle alternatives (updated for 2026)","excerpt":"In November and December 2025, inspired by Simon Willison’s pelican-riding-a-bicycle benchmark, I had some then-current LLMs create SVGs from thirty similar prompts, such as “Generate an SVG of an octopus operating a pipe organ.” Simon mentioned that experiment on his blog [1].\nNine months have passed and much stronger models have been released, so I tried the experiment again today. The linked site shows the results.\nRunning ten of the prompts through six models at OpenRouter cost about twenty ","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-21T02:00:50.945Z"},{"id":"f17ef479-1921-4360-ad2a-c16eb921070a","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://tenderlovemaking.com/2026/09/11/what-a-time-to-be-alive/","canonical_url":"https://tenderlovemaking.com/2026/09/11/what-a-time-to-be-alive/","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:50.630Z","title":"What a time to be alive – rouge AI agents attack RubyGems.org","excerpt":"Article URL: https://tenderlovemaking.com/2026/09/11/what-a-time-to-be-alive/\nComments URL: https://news.ycombinator.com/item?id=49695876\nPoints: 70\n# Comments: 87","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:50.630Z"},{"id":"39f18938-82c8-4a98-9908-d302e9c1fe00","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://www.macrumors.com/2026/09/14/siri-can-be-swapped-out-for-chatgpt-claude/","canonical_url":"https://www.macrumors.com/2026/09/14/siri-can-be-swapped-out-for-chatgpt-claude/","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:50.942Z","title":"Apple's Siri AI Can Be Swapped Out for Claude, ChatGPT, Code Shows","excerpt":"Article URL: https://www.macrumors.com/2026/09/14/siri-can-be-swapped-out-for-chatgpt-claude/\nComments URL: https://news.ycombinator.com/item?id=49695409\nPoints: 90\n# Comments: 29","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:50.942Z"},{"id":"29883e37-0679-4bda-af4f-42b28e7527df","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://www.theregister.com/ai-and-ml/2026/09/14/big-ai-sets-out-its-terms-for-regulatory-capture-and-calls-it-pace-the-frontier/5296067","canonical_url":"https://www.theregister.com/ai-and-ml/2026/09/14/big-ai-sets-out-its-terms-for-regulatory-capture-and-calls-it-pace-the-frontier/5296067","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:51.172Z","title":"Big AI sets out its terms for regulatory capture","excerpt":"Article URL: https://www.theregister.com/ai-and-ml/2026/09/14/big-ai-sets-out-its-terms-for-regulatory-capture-and-calls-it-pace-the-frontier/5296067\nComments URL: https://news.ycombinator.com/item?id=49694596\nPoints: 35\n# Comments: 3","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:51.172Z"},{"id":"3fcab0eb-2202-46e6-963d-b054e49ddb43","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://github.com/Chaos-vy/ChaosTree","canonical_url":"https://github.com/Chaos-vy/ChaosTree","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:51.400Z","title":"Show HN: ChaosTree – A zero-dependency Java tree library (AVL,RBT,B-Tree,B+Tree)","excerpt":"What is ChaosTree?\nChaosTree is a zero-dependency Java Sorted Set/Map library built around multiple tree implementations.\nIt provides implementations of:\n- AVL Tree\n- Red-Black Tree\n- B-Tree\n- B+Tree\nI have not made my custom API as it implements NavigableSet, NavigableMap, SequencedSet and SequencedMap. My Custome API are:\n- buildFromSorted(Iterator> it, float factor)\n- importFlatMatrix(Object[][] blast, float factor)\n- Object[][] exportFlatMatrix()\nI started ChaosTree because I wanted to explo","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:51.400Z"},{"id":"07d6ac08-b606-4039-b2af-292da2238f51","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://digiato.global/report/iran-banks-ssl-certificates-domain-changes/","canonical_url":"https://digiato.global/report/iran-banks-ssl-certificates-domain-changes/","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:53.386Z","title":"Iranian banks' SSL certificates are being revoked due to OFAC sanctions","excerpt":"Article URL: https://digiato.global/report/iran-banks-ssl-certificates-domain-changes/\nComments URL: https://news.ycombinator.com/item?id=49701104\nPoints: 39\n# Comments: 22","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:53.386Z"},{"id":"2118451e-50ee-42fd-9ba0-376fe3994e2c","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://narilabs.com/blog/nari-labs-leads-coval-voice-ai-benchmarks/","canonical_url":"https://narilabs.com/blog/nari-labs-leads-coval-voice-ai-benchmarks/","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:53.645Z","title":"Show HN: Nari Qwen3-TTS and Qwen3-ASR – High accuracy, low latency and cost","excerpt":"Hey HN, Toby from Nari Labs here.\nWe've been working on making OSS speech models super-fast. Last year, we built Dia, the first OSS text-to-speech model capable of doing natural dialogue. Since then, so many more great speech models have been released to the public.\nBut the market is still dominated by closed source models. We think that's an inference problem. Existing systems such as vLLM / SGLang are not well suited for multimodal inference. To prove this, we built an inference engine special","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:53.645Z"},{"id":"809aa4fd-8a52-4d79-a6c4-24de8829926d","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://www.techtimes.co.uk/oracle-new-layoffs-restructuring-costs-2-8-billion-1808676","canonical_url":"https://www.techtimes.co.uk/oracle-new-layoffs-restructuring-costs-2-8-billion-1808676","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:53.856Z","title":"Oracle's Cold 6AM Layoff Emails Hit Staff Amid New Wave of Cuts","excerpt":"Article URL: https://www.techtimes.co.uk/oracle-new-layoffs-restructuring-costs-2-8-billion-1808676\nComments URL: https://news.ycombinator.com/item?id=49702239\nPoints: 55\n# Comments: 28","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:53.856Z"},{"id":"64a7e583-e0d1-4863-9116-08a91f5b7dd9","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://www.effort.news/irregular","canonical_url":"https://www.effort.news/irregular","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:54.103Z","title":"A single firm is behind OpenAI, Anthropic, and Meta hacking scandals","excerpt":"Article URL: https://www.effort.news/irregular\nComments URL: https://news.ycombinator.com/item?id=49704132\nPoints: 75\n# Comments: 24","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:54.103Z"},{"id":"6b2f958c-20ca-4df1-95e1-346bf4e2aeaf","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://pub.sakana.ai/pc-alm/","canonical_url":"https://pub.sakana.ai/pc-alm/","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:54.303Z","title":"Backprop Alternative: Augmented Lagrangian Predictive Coding","excerpt":"Article URL: https://pub.sakana.ai/pc-alm/\nComments URL: https://news.ycombinator.com/item?id=49701182\nPoints: 14\n# Comments: 1","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:54.303Z"},{"id":"e906f176-8ed5-4413-9c79-cd9694116c30","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://pluralistic.net/2026/09/12/god-in-the-box/#llms-are-fake","canonical_url":"https://pluralistic.net/2026/09/12/god-in-the-box/#llms-are-fake","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:54.624Z","title":"LLMs are real, AI is fake","excerpt":"Article URL: https://pluralistic.net/2026/09/12/god-in-the-box/#llms-are-fake\nComments URL: https://news.ycombinator.com/item?id=49705130\nPoints: 8\n# Comments: 0","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:54.624Z"},{"id":"e132a7c3-c0f5-4e13-9a3f-08cbefbfea4d","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://dailyneuron.com/aphantasia-mental-imagery-brain-network/","canonical_url":"https://dailyneuron.com/aphantasia-mental-imagery-brain-network/","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:54.830Z","title":"People who can't picture anything are rewriting the science of imagination","excerpt":"Article URL: https://dailyneuron.com/aphantasia-mental-imagery-brain-network/\nComments URL: https://news.ycombinator.com/item?id=49696453\nPoints: 147\n# Comments: 210","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:54.830Z"},{"id":"4f9375fe-6581-45df-89e5-730425a55c71","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://spectrum.ieee.org/adversarial-fashion","canonical_url":"https://spectrum.ieee.org/adversarial-fashion","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:51.892Z","title":"Adversarial Fashion Makes a Statement on AI Panopticon","excerpt":"Article URL: https://spectrum.ieee.org/adversarial-fashion\nComments URL: https://news.ycombinator.com/item?id=49697094\nPoints: 19\n# Comments: 5","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:51.892Z"},{"id":"ae59012b-fa73-4f40-bbb7-9d2d81a2f294","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://www.amazon.science/blog/why-dont-machine-learning-research-agents-overfit","canonical_url":"https://www.amazon.science/blog/why-dont-machine-learning-research-agents-overfit","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:52.106Z","title":"Why don't machine learning research agents overfit?","excerpt":"Article URL: https://www.amazon.science/blog/why-dont-machine-learning-research-agents-overfit\nComments URL: https://news.ycombinator.com/item?id=49699648\nPoints: 9\n# Comments: 1","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:52.106Z"},{"id":"29eccf8a-2a00-4062-8ec8-4b52bcaf363d","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://www.amazon.science/blog/when-llm-judges-agree-should-we-believe-them","canonical_url":"https://www.amazon.science/blog/when-llm-judges-agree-should-we-believe-them","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:52.301Z","title":"When LLM judges agree, should we believe them?","excerpt":"Article URL: https://www.amazon.science/blog/when-llm-judges-agree-should-we-believe-them\nComments URL: https://news.ycombinator.com/item?id=49699590\nPoints: 6\n# Comments: 0","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:52.301Z"},{"id":"b7da2077-d69c-41fb-be7a-a6e14ddd1956","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://www.intigriti.com/researchers/blog/hacking-tools/hacking-ai-customer-service-agents","canonical_url":"https://www.intigriti.com/researchers/blog/hacking-tools/hacking-ai-customer-service-agents","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:52.516Z","title":"Hacking AI customer service agents","excerpt":"Article URL: https://www.intigriti.com/researchers/blog/hacking-tools/hacking-ai-customer-service-agents\nComments URL: https://news.ycombinator.com/item?id=49699526\nPoints: 21\n# Comments: 1","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:52.516Z"},{"id":"e6b862d0-7132-4a20-a635-43873a2b12ee","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://erkansaka.net/2026/09/10/ai-doom-rhetoric-safety-hype/","canonical_url":"https://erkansaka.net/2026/09/10/ai-doom-rhetoric-safety-hype/","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:52.708Z","title":"For AI leaders Doom is a form of hype","excerpt":"Article URL: https://erkansaka.net/2026/09/10/ai-doom-rhetoric-safety-hype/\nComments URL: https://news.ycombinator.com/item?id=49699384\nPoints: 99\n# Comments: 66","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:52.708Z"},{"id":"933ede8a-20af-428e-8f23-ca88bf1f1b7f","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://spectrum.ieee.org/china-ai-chatbot-regulation","canonical_url":"https://spectrum.ieee.org/china-ai-chatbot-regulation","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:52.910Z","title":"China's Regulators Take Aim at \"AI Boyfriends\"","excerpt":"Article URL: https://spectrum.ieee.org/china-ai-chatbot-regulation\nComments URL: https://news.ycombinator.com/item?id=49698664\nPoints: 34\n# Comments: 13","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:52.910Z"},{"id":"182a883f-fb1d-47ea-b4db-11f063bf5403","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://transitions.dev/","canonical_url":"https://transitions.dev/","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:53.143Z","title":"Transitions.dev: UI transitions for AI agents","excerpt":"Article URL: https://transitions.dev/\nComments URL: https://news.ycombinator.com/item?id=49698443\nPoints: 13\n# Comments: 5","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:53.143Z"},{"id":"dccb31f5-1f5a-4229-af07-041feb2d0b61","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://github.com/antoineleclair/is-it-greg","canonical_url":"https://github.com/antoineleclair/is-it-greg","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:48.692Z","title":"Show HN: Is It Greg?","excerpt":"My friend Greg often posts incredible things he just made, just for fun.\nOften, I don't realize that it's something HE made and then I see the URL, AND IT'S MY FRIEND, GREG!\nA few things he made that I think are amazing:\n- ikea complexity index: https://ikea.greg.technology/\n- Boing: https://boing.greg.technology/\nI want to make sure I don't miss anything from him, so I created this Chrome extension that flags things posted by Greg, or linking to his website or a subdomain.\nI hope other people w","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:48.692Z"},{"id":"4e0cde86-8810-469c-835d-eaa53930ff8e","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://arxiv.org/abs/1802.07228","canonical_url":"https://arxiv.org/abs/1802.07228","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:48.969Z","title":"The Malicious Use of Artificial Intelligence","excerpt":"Article URL: https://arxiv.org/abs/1802.07228\nComments URL: https://news.ycombinator.com/item?id=49690678\nPoints: 9\n# Comments: 0","content_hash":null,"source_reliability_class":"medium","is_primary_source":false,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-24T19:00:48.969Z"},{"id":"388fb3e1-64a2-4a59-8060-1a9f4478fd19","event_id":"803df5f5-d0be-4fe6-a61a-5be6135f0a69","url":"https://12gramsofcarbon.com/p/ai-is-not-a-normal-technology","canonical_url":"https://12gramsofcarbon.com/p/ai-is-not-a-normal-technology","source_type":"journalism","publisher":"Hacker News","author":null,"publication_date":"2026-09-14T00:00:00.000Z","retrieved_at":"2026-09-24T19:00:49.196Z","title":"AI is not a normal technology","excerpt":"Article URL: https://12gramsofcarbon.com/p/ai-is-not-a-normal-technology\nComments URL: https://news.ycombinator.com/item?id=49690529\nPoints: 12\n# Comments: 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